Robust estimation of infant feeding indicators by data quality assessment of longitudinal electronic health records from birth up to 18 months of life
| Autor: | Verónica Muñoz-Soler, Antonio Oliver-Roig, Ricardo García-de-León-González, Ricardo García-de-León-Chocano, Juan M. García-Gómez, Carlos Sáez |
|---|---|
| Přispěvatelé: | Universidad de Alicante. Departamento de Enfermería, Person-centred Care and Health Outcomes Innovation / Atención centrada en la persona e innovación en resultados de salud (PCC-HOI), Calidad de Vida, Bienestar Psicológico y Salud |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Monitoring
Electronic health record Health Informatics Social Welfare Health Promotion Health records 030218 nuclear medicine & medical imaging Baby-friendly hospital initiative 03 medical and health sciences 0302 clinical medicine Environmental health Electronic Health Records Humans Child Infant feeding Estimation Data quality Infant Hospitals Data Accuracy Computer Science Applications Breast Feeding Indicator Spain FISICA APLICADA Enfermería Female Christian ministry Psychology 030217 neurology & neurosurgery Software |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| Popis: | [EN] Background and objective: The Baby-Friendly Hospital Initiative (BFHI) is an international strategy aimed at improving breastfeeding practices in health care services. Regular monitoring of indicators is key for BFHI implementation and maintenance. Currently, routine data collected from electronic health records (EHR) is an excellent source for infant feeding monitoring, however data quality (DQ) assessment should be undertaken. The aim of this research is to enable robust estimations of infant feeding indicators through DQ assessment of routine EHR data. Materials and methods: We use the longitudinal series of healthcare contacts belonging to 6427 children born from 2009 to 2018 in the Health Area V of Murcia (Spain). Longitudinal data came from EHR at hospital discharge and community infant health reviews up to 18 months. The data of each healthcare contact contained a 24-h recall of infant feeding. We perform a DQ process in three phases: (1) an assessment of each-single-contact and the definition of their infant feeding status; (2) a longitudinal DQ assessment of completeness and consistency of the series of contacts to obtain meta-information that guides the duration calculus, for each case, of the different types of breastfeeding: exclusive breastfeeding (EBF), full breastfeeding (FBF) and any breastfeeding (ABF); and finally (3) a robust estimation of indicators and description of DQ of each indicator. Results: We found deficiencies of DQ in 30.42% of single contacts for EBF, 19.02% for FBF and 22.50% for ABF that were used to establish the infant feeding status. However, after longitudinal DQ assessment, we obtained valid and reliable data rates for most indicators such as "median duration of breastfeeding" nearly 90%, both for FBF and ABF, not so for EBF. Conclusions: Despite the DQ deficiencies found in raw data, the DQ assurance approach by indicators proposed in this work, allowed us to obtain a robust estimation of indicators with a significant percentage of subjects with valid information for ABF and FBF monitoring. The estimations were consistent with results previously published. The methodology provided with this study allows a continuous and reliable population monitoring of infant feeding indicators of BFHI from routine EHR data. This research is partially supported by the Spanish Ministry of Health, Social Services and Equality (2015/07PN0010), within the framework of a pilot project envisaged to the development of a National IDR of maternal-child care information. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|